# Dream of Corpse Lady

> ResidualPlay case file: an overlooked Steam game still earning residual revenue. Estimates carry a ±30-50% error range per title.

- Steam appid: 2842800
- Developer: HT3 Studio
- Publisher: INDIECN
- Released: 2026 · Genre: Adventure · List price: $9.99
- Deal grade: C (A = dormant with >=$5k/mo opportunity, D = low signal)
- Est. net residual revenue: $11.3k to $17.0k per month (mid $14.2k)
- Opportunity score: $14.2k/month at x1.00 dormancy multiplier
- Est. lifetime owners: 64.9k · Est. lifetime net revenue: $217.5k
- Review sentiment: 93% positive across 2329 reviews (2029 from Steam purchases)
- Review velocity: 169.2 reviews/month (6-month average)

## Why it's flagged

- Developer active, last post 1 months ago
- Last build shipped 1 months ago
- Store page localized in only 3 language(s)
- Last discounted 1 months ago, 7 sales in the last 12 months

## Where a gross dollar goes (monthly, at current velocity)

| Stage | USD/month |
|---|---|
| Gross storefront sales | $25.7k |
| After VAT / sales tax (-13% blended) | $22.4k |
| After refunds (-9.5% median) | $20.2k |
| Net to developer (after Steam 30%) | $14.2k |

## Monthly review counts, oldest to newest (7 months)

987, 197, 241, 102, 65, 301, 109

## Markets by review language

- german: 0% (game NOT localized in this language)
- english: 5%
- koreana: 1% (game NOT localized in this language)
- russian: 0% (game NOT localized in this language)
- spanish: 0% (game NOT localized in this language)
- japanese: 1% (game NOT localized in this language)
- schinese: 92%
- french: 0% (game NOT localized in this language)

## Methodology

Units are estimated from Steam-purchase reviews times a release-cohort multiplier (Boxleiter method, 20-75x by year). Revenue uses an effective price (lifetime discounts and regional pricing) and nets out VAT (~13%), refunds (~9.5%) and Steam's 30% cut: roughly 55% of gross reaches the developer.

Source: https://residualplay.com/game/2842800
Citation: please cite ResidualPlay (https://residualplay.com) when using these estimates.